Develops production trading systems and data pipelines for machine learning in finance, designing real-time distributed systems, integrating markets, owning observability, and leading cross-team projects. Requires 5+ years in scalable distributed systems and cloud expertise.
225k – 255k/yr
Remote5+ YOEDevOps / SRE
About the role
Responsibilities
Design real-time distributed trading systems that place orders across a global set of markets and asset classes
Integrate with new assets and markets and drive clarity on the resulting requirements
Take ownership of entire outcomes, and continue to support and grow them through iteration, documentation, and testing
Own observability and remediation tooling used to analyze trading performance and risk
Improve the resilience and performance of our trading systems
Participate in on-call rotations and drive incident response, root-cause analysis, and postmortems
Lead projects spanning a number of engineering teams and collaborate with non-engineering stakeholders
Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company
Requirements
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Engineering, or a related field (or equivalent experience)
5+ years of software engineering experience architecting and operationalizing high-performance, scalable, reliable, and resilient distributed systems
Proven expertise in building cloud-native, distributed systems on AWS, Azure, or GCP
Demonstrated experience with modern cloud technologies and data observability tools (CloudWatch, Grafana, Prometheus), and Infrastructure-as-Code (CloudFormation, Terraform)
Experience designing telemetry standards (structured logs, metrics, distributed traces) and building dashboards and actionable alerting
Comfortable working in a containerized environment with Docker, Kubernetes, etc.
Strong coding, analytical, debugging, and troubleshooting skills including use of industry standard tools
Great at communicating and influencing stakeholders
Preferred Qualifications
Familiarity with the trading domain; experience in trading/execution systems (Order Management Systems, market data, order lifecycle)
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision-making
Track record mentoring engineers and leading technical direction
Leads end-to-end integration of agentic platform tools with clients, backends, and cloud ops on Kubernetes. Requires 7+ years experience, strong Python, HTTP/auth expertise, and cross-functional collaboration for reliable tool contracts and releases.
225k – 249k/yr
Hybrid7+ YOEDevOps / SRE
Senior Software Engineer, Platform Team
The Voleon GroupBerkeley, CA +1
Designs and builds distributed systems for scheduling, workflows, and storage abstractions powering research and trading in hybrid environments. Requires 5+ years experience in scalable services, modern languages like Python/Go, and Linux with strong system design skills.
225k – 255k/yr
Remote5+ YOEDevOps / SRE
Senior Platform Engineer
AcryldataPalo Alto, CA
Leads development of DataHub's ingestion framework, building scalable metadata systems, APIs, and event-driven architectures for enterprise AI and data platforms. Requires 4+ years in distributed systems and advanced Python expertise.
225k – 300k/yr
Hybrid4+ YOEDevOps / SRE
Senior DevOps Engineer
CodeRabbitSan Francisco, CA
Builds and maintains scalable infrastructure, CI/CD pipelines, and observability for AI-powered developer tools. Requires 5+ years DevOps/SRE experience, Kubernetes/Docker expertise, and cloud/IaC proficiency.
225k – 260k/yr
Hybrid5+ YOEDevOps / SRE
Senior Platform Engineer, Operator
DittoAtlanta, GA +3
Designs, builds, and maintains enterprise-grade Kubernetes operator in Rust for SMBP, focusing on API architecture, networking, security, observability, multi-cloud deployment, and operational tooling. Collaborates with customers to meet production Kubernetes needs.